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Moar examples of predictive analytic engines (Project Looking Glass)

Post 40397 View on 8kun



More examples of predictive analytic engines:

-- Recorded Future -- "To forecast events and entity properties through predictive models."

>New York venture capital and private equity firm Insight Partners has acquired a controlling stake in threat intelligence company Recorded Future for $780 million.

>Recorded Future now works with more than 400 clients, including Bank of America, Target and SC Johnson.

>The company was founded in 2009, with early investments from Google Ventures and In-Q-Tel, the investment arm of the Central Intelligence Agency.


>Using what they call a "Temporal Analytics Engine," Recorded Future provides forecasting and analysis tools to help analysts predict future events by scanning sources on the internet, and extracting, measuring, and visualizing the information to show networks and patterns in the past, present, and future


-- Palantir --

>Palantir’s prediction model in New Orleans used an intelligence technique called social network analysis (or SNA) to draw connections between people, places, cars, weapons, addresses, social media posts, and other indicia in previously siloed databases. Think of the analysis as a practical version of a Mark Lombardi painting that highlights connections between people, places, and events.


-- Predict-Wise -- run by David RedShield

>PredictWise provides completely tailored audiences for any ad campaign instantaneously, helping progressive find their most high-yield target change-makers better understand, activate and grow their audience.

>PredictWise builds on massive survey and device data collected from Millions of American cell-phones over the last three years, best-in-class Deep Learning, and our ID resolution tech able to find people no matter where they are – be it on mobile phones, on desktop computers, or playing Candy Crush.




-- webbot project -- pioneering iteration of the use of 'predictive linguistics'

>Predictive Linguistics is the process of using computer software to aggregate vast amounts of written text from the internet by categories delineated by emotional content of the words and using the result to make forecasts based on the emotional 'tone' changes within the larger population. A form of 'collective sub-conscious expression' is a good way to think of it. Predictive linguistics can be used to forecast trends at many different levels, from the detail of sales to individuals, all the way up to forecasts about emerging global population trends.


Post 40410 View on 8kun


Followed Clif High's webbot project for about year (subscription to monthly reports that were ~20 pp. long -- still have them on hard drive) and it was interesting ... for a while ... then he seemed to go off into a ditch and started promoting bitcoin (which he obviously was mining in a big way) with a much higher price subscription service devoted to "predicting" what bitcoin would do. In other words an investment letter for those into bitcoin. I bailed at that point since I judge bitcoin and all cryptocoins to be a very unsafe, risky investment, a form of Ponzi scheme subject to hacking and government intrusion, not capable of meeting any of its promises that the faithful believe in. (Time will tell.)

High's methology of mining the web for linguistic data then assigning values and association to linguistic terms probably did rake in some very interesting stuff that people were talking about or thinking about. His precise methodology was never disclosed to the public. But on top of the linguistic data, he added his own interpretations (predictions) each month, which seldom turned out to be correct.

He did turn me on to Antarctica being a very spoopy place. And the reality of a Secret Space Program.

I do believe that predictive analytics is a THING and that a combination of very massive databases with massive computing power, and now possibly with the use of quantum computing -- which can rapidly do the probability calculations at a speed that no conventional computer can match no matter how large -- is involved.

I would assume that governments -- particularly OUR government -- have the very best capabilities for predictive analytics. I also assume that some other organizations and governments are doing it.